Data Sharing, Analytics & Research
Automate digitization, data discovery, and anonymization for sensitive data
Anacomp's artificial intelligence, machine learning, and intelligent document processing technologies empower accurate, protected data sharing for analytics and research
Check out our white paper on how data automation helps ensure data quality for healthcare records.
quality data analytics depends on accurate records and fast extraction and anonymization for data sharing
Digitize and categorize records
Digitize and categorize records with metadata during digital transformation to allow instant data discovery for analytics and export. Anacomp’s chain of custody and production management system ensures proper control, tagging, and protection of documents during the digitization process.
For federal agencies, we also offer M-19-21 digitization services.
Correct misfiled records
Intelligent Document Processing (IDP) technology can automate the correction of misfiled records with minimal staff resources. Ensure data quality for analytics by correcting misfiled records using our D3TECT solution to identify and correct sensitive data record misfiles. Check out our White Paper Use Case on digitization and misfiles correction of service treatment records.
Data discovery for analytics
Quickly discover, tag, and workflow data for research and analytics using D3 Data Discovery to filter, search, tag, and workflow business intelligence while leaving data in place. Inventory and index over 950 file types in any data store. D3 is unique in that it can identify and visualize data down to the content level.
Sensitive data anonymization
Harvest data assets and improve data sharing. Our D3CODE solution uses Intelligent Document Processing (IDP) to automatically depersonalize and extract data from forms, and then aggregates it into a queryable format for analytics with minimal staffing resources. Export to other data analytics solutions for further data manipulation.
D3TECT & R3DACT Demo for Healthcare Use Cases
intelligent document processing for misfiled patient records and redaction
Protecting Data Privacy
The Privacy Act of 1974, the 21st Century Cures Act Cures Act, the Health Insurance Portability and Accountability Act of 1996 (HIPAA), and many state laws aim to support the flow of data, while also ensuring data privacy rights with a focus on data governance.
As a result of the COVID-19 pandemic, there is an increased focus on data-sharing analytics and interoperability. In fact, the White House issued an Executive Order on Ensuring a Data-Driven Response to COVID-19 and Future High-Consequence Public Health Threats (2021).
Check out our blog for articles on automating data discovery, tagging, and sharing while protecting data privacy.
our professional services team are experts in managing data
WorkSmart™ is Anacomp’s project management services solution leveraging 20 years of records management and processing experience, as well as Lean Six Sigma methodologies. Our team provides recommendations for compliance gaps, process improvements, timelines, and cost savings.
We have saved organizations $72 million/year through improved records management workflows and efficient digitization.
Our WorkSmart™ team analyzes records management data to develop the WorkChart matrix, a comprehensive reporting solution that shows the complete picture of performance data and document record data. We use the assessment to calculate the “as is” cost to organizations to identify potential savings based on implementation of electronic process improvements delivered in a detailed cost model.
The value of WorkChart has been demonstrated in large organizations over decades, each with numerous document types and associated workflows.
Our professional services personnel have security clearances and offer decades of experience with programming and project management certifications in Python, Power BI, Lean Six Sigma, ECM, BPM, and partner technologies including cloud platforms such as AWS.